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Research Department Spectroscopy and Imaging

Scientific Profile

The research department focuses on researching, developing and implementing innovative optical/photonic methods and tools for multiscale spectroscopy and multimodal imaging together with particle- and chip-based molecular point-of-care concepts for analytics, diagnostics and therapy in the fields of medicine, life and environmental sciences, quality and process analytics as well as pharmacy. The implementation of novel fiber concepts for spectroscopy and imaging as well as fiber-assisted sensor technology and the use of surface-enhanced Raman and IR detection techniques to increase the sensitivity of spectroscopic methods complete the research profile of the department. In general, the research department pursues the goal of covering the entire analysis measurement chain, whereby sample preparation methods that can be used locally and independently of the laboratory are investigated and implemented in the entire workflow. Statistical, chemometric and image-evaluating methods as well as machine learning are researched and used to evaluate the data obtained. 

[Translate to Englisch:] Design eines miniaturisierten Raman-Systems
[Translate to Englisch:] Fig. 2: Kompaktes multimodales nichtlineares Mikroskop für die intraoperative Schnellschnittdiagnostik
Dielectrophoretic chip with 20 cavities for Raman-based pathogen diagnostics and resistance determination

Research Topics

  • Methodical development of molecular and functional contrast mechanisms
  • Raman / multimodal instrumentation for biomedical questions; implementation of imaging techniques in compact systems; mixed- and augmented reality;
  • Research and realization of miniaturized low-cost Raman systems
  • Raman spectroscopic characterization and identification of pathogens and their antibiotic resistance (RamanBioAssay)
  • Implementation of spectral sensors, microfluidics, optical fibers, chip- and nanoparticle-based concepts in compact miniaturized setups;
  • Research on on-site and laboratory independent sample preparation and treatment strategies as essential tools for the success of new detection systems and methods to cover the entire analysis chain;
  • Research activities on surface enhanced detection techniques to increase the sensitivity of spectroscopic methods for life science applications;
  • Highly sensitive Raman gas sensors to investigate environmental issues;
  • Investigation of novel hollow core fibers for highly sensitive Raman sensor applications ;
  • Pattern recognition, multivariate and hyperspectral data analysis (data visualization, processing); device control.

The search for new molecular and functional contrast mechanisms, their implementation in innovative spectral-optical methods and the instrumentation based on them are a central challenge. Here, two complementary approaches are pursued: While a top-down approach based on physical measurement methods can be used to increase specificity and sensitivity, the research, development, and integration of innovative markers and labels represents a bottom-up approach to chemical contrast.  

The research, development and implementation of innovative technologies and processes are particularly aimed for:

  • improving disease diagnosis (qualitatively and quantitatively);
  • providing in-depth insights into the dynamics of life processes;
  • opening up new fields of application for optical technologies for biomedical, environmental and life science cooperation partners.

Addressed application fields

  • Microbial photonic diagnostics (pathogen / host / companion)
  • infection diagnostics
  • Spectral histopathology (molecular spectroscopy, high-resolution and hyperspectral imaging)
  • Medical, environmental, pharmaceutical, food and process analytics

Work Groups

Molecular Imaging

Prof. Dr. Jürgen Popp

Overview
Raman and Infrared Histopathology

Dr. Christoph Krafft

Overview
Sensor Systems

Dr. Walter Hauswald

Overview
Jenaer Biochip Initiative

Dr. Dana Cialla-May, Dr. Karina Weber

Jenaer Biochip Initiative
Fiber Spectroscopic Sensors

Dr. Torsten Frosch

Fiber Spectroscopic Sensors
Statistical Modeling and Image Analysis

PD Dr. Thomas Bocklitz

Photonic Data Science
Multimodal Instrumentation

Dr. Iwan Schie

Multimodal Instrumentation
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